Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

József Dombi, Tamás Jónás (Autoren)

Buch | Softcover

XVII, 187 Seiten

2021
Springer International Publishing (Verlag)
978-3-030-51951-3 (ISBN)

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This book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It describes theoretical results and applications, and discusses how various uncertainty measures - probability, plausibility and belief measures - can be treated in a unified way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique. Lastly, it proposes flexible fuzzy numbers for Likert scale-based evaluations. Featuring methods that can be successfully applied in a variety of areas, including engineering, economics, biology and the medical sciences, the book offers useful guidelines for practitioners and researchers.

Belief, probability and plausibility.- -additive and ni-additive measures.- The pliant probability distribution family.- A fuzzy arithmetic-based time series model.- Likert scale-based evaluations with exible fuzzy numbers.- Bibliography.

Erscheinungsdatum	14.08.2021
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVII, 187 p. 67 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	326 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik
Schlagworte	Data Science • fuzzy numbers • Fuzzy Systems • probabilistic methods • Soft Computing
ISBN-10	3-030-51951-1 / 3030519511
ISBN-13	978-3-030-51951-3 / 9783030519513
Zustand	Neuware